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Home/Authors/Young Min Kim

Young Min Kim

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:32 PM AMS

23

papers

281

total citations

papers (23)

N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras

Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition

Balanced Spherical Grid for Egocentric View Synthesis

Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details

PICCOLO: Point Cloud-Centric Omnidirectional Localization

GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction

MoDA: Map Style Transfer for Self-Supervised Domain Adaptation of Embodied Agents

Fully Geometric Panoramic Localization

Motion Synthesis with Sparse and Flexible Keyjoint Control

CPO: Change Robust Panorama to Point Cloud Localization

Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos

SceneMI: Motion In-betweening for Modeling Human-Scene Interaction

I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM

Isometric Regularization for Manifolds of Functional Data

LDL: Line Distance Functions for Panoramic Localization

Calibrating Panoramic Depth Estimation for Practical Localization and Mapping

Recovering Dynamic 3D Sketches from Videos

Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata

Learning 3D Scene Analogies with Neural Contextual Scene Maps

Less is More: Improving Motion Diffusion Models with Sparse Keyframes

Structure-From-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots From Unordered and Mixed Fragment Collections

Dynamic Mesh Recovery from Partial Point Cloud Sequence